Stress Strength Weibull Análisis Aplied to Estimate Reliability Index in Industry 4.0

Baro, Manuel; Piña‐Monarrez, Manuel R.

doi:10.2139/ssrn.4171589

Cited by 2 publications

(6 citation statements)

References 18 publications

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“…From data analysis point of view we highlight that failure mode is related to fatigue wear out behavior [28][29], which is confirmed by on-field analysis.…”

Section: Figure 7: Failure Proportion Distribution In Function Of Mac...supporting

confidence: 55%

“…By crosschecking this matrix with on-field failure and machine unit production we create a second matrix that wrap the quantity of machine that will perform enough A11 217 ______________________________________________________________________________________________________________ service hours to have probable failure. Second step is dedicated to calculation of the unreliability probability, according to methodology described by Baro et al [28]. That can be explained as the sum of the product of occurrence probability and system resistance.…”

Section: Figure 6: Potential Service Hour Matrix For 20 Months Accord...mentioning

confidence: 99%

“…Then divided it numbers by the number of failure occurrence at the time t and the result obtained is the probability of failure occurrence according to service hours. This probability of failure occurrence equation ( 1) and then (2) allows us to fit real occurrence data with parametric Weibull law [28].…”

Section: Figure 6: Potential Service Hour Matrix For 20 Months Accord...mentioning

confidence: 99%

“…(1) R(t) is Weibull Reliability Function represents the proportion of surviving specimens from the time 0 to a given time "t", β shape parameter (Scatter) and η scale parameter (2) F(t) is Weibull Cumulative Failure function or Unreliability. To estimate Weibull parameters, several methodologies has been developed over the last 50 years, a nonexhaustive list can be found in [28]. In our study we linearize the unreliability function excel regression and then use median ranks method to determine Weibull parameter.…”

Section: Figure 6: Potential Service Hour Matrix For 20 Months Accord...mentioning

confidence: 99%

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Radial shaft seal failure investigation

Azzi,

Maquinghen

2022

21st International Sealing Conference 2022

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The purpose of this study is to use root cause failure analysis method to investigate and resolve reliability related problems of radial shaft seals in order to help designers and manufacturers to improve the product validation process. Previous studies have revealed that lifespan and performance of hydraulic motors are significantly affected by the reliability of the sealing solution. The key point for achieving lifetime of radial shaft seal improvement is to deeply understand seals applications duty cycle, which leads to specific failures modes. In this paper, the factors relating to life of radial shaft seals are investigated and discussed. The application of root cause failure analysis method used on field data, experimental tests and numerical simulations aimed at reproducing of a defect, accelerating test and estimating the lifespan of a seal have been presented. Obtained results show a good agreement between on field data and experimental tests, as well as the strong impact of operating conditions on the radial shaft seal lifespan.

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“…From data analysis point of view we highlight that failure mode is related to fatigue wear out behavior [28][29], which is confirmed by on-field analysis.…”

Section: Figure 7: Failure Proportion Distribution In Function Of Mac...supporting

confidence: 55%

Section: Figure 6: Potential Service Hour Matrix For 20 Months Accord...mentioning

confidence: 99%

Section: Figure 6: Potential Service Hour Matrix For 20 Months Accord...mentioning

confidence: 99%

Section: Figure 6: Potential Service Hour Matrix For 20 Months Accord...mentioning

confidence: 99%

See 2 more Smart Citations

Radial shaft seal failure investigation

Azzi,

Maquinghen

2022

21st International Sealing Conference 2022

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show abstract

“…In that sense, the use of engineering reliability methodologies presents a powerful option for companies to implement in Industry 4.0 with the object of measuring accurately both efficiency and productivity [20]. Whereby the stress-strength analysis in reliability engineering is a useful method to measure the performance of hardware and electronic devices that are employed in Industry 4.0 [14].…”

Section: Introductionmentioning

confidence: 99%

Stress-Strength Weibull Analysis Applied to Estimate Reliability Index in Industry 4.0

Tijerina¹,

Monarrez²

2021

IJRRS

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With technological advances, companies are allowed to integrate digital data, physical supplies, and human resources, and all this integration capability can be done thanks to Industry 4.0. This concept, also called the fourth industrial revolution, refers to smart companies that work with intelligent cyber-physical systems. Industry 4.0enables automation, data interchange, and big data processing, among others. Then, the process decision-making, efficiency, and productivity improvement for companies will become faster and more accurate, thanks to real-time data processes and all supply chain integration allowed by Industry 4.0. However, the implementation of Industry 4.0 carries several challenges for companies to have success in the transformation of a normal industry into an Industry 4.0, like the necessity of adding new hardware, software, and other technologic devices. Because of this, the implementation and control of Industry 4.0 come with new issues to handle and new failure modes for both hardware and electronic devices. These problems can be faced using reliability engineering tools. Then the object of this research is the use of reliability engineering methodology stress-strength Weibull analysis, highlighting that the behavior of frequency emitted by electronics devices follows a Weibull distribution most of the time. Also, a stress-strength Weibull with a different shape parameter close solution is presented to increase the efficiency and productivity in Industry 4.0 electronic devices.

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Stress Strength Weibull Análisis Aplied to Estimate Reliability Index in Industry 4.0

Cited by 2 publications

References 18 publications

Radial shaft seal failure investigation

Radial shaft seal failure investigation

Stress-Strength Weibull Analysis Applied to Estimate Reliability Index in Industry 4.0

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